ory-hydra: Add version 26.2.0
Ory Hydra is a server implementation of the OAuth 2.0 authorization framework
and the OpenID Connect Core 1.0. It follows cloud architecture best practices
and focuses on:
* OAuth 2.0 and OpenID Connect flows
* Token issuance and validation
* Client management
* Consent and login flow orchestration
* JWKS management
* Low latency and high throughput
py-oauthenticator: Add version 17.4.0
OAuth is a token based login mechanism that doesn't rely on a username and
password mapping. In order to use this login mechanism with JupyerHub the
login handlers need to be overridden. OAuthenticator overrides these handlers
for the common OAuth2 identity providers allowing them to be plugged in and
used with JupyterHub.
The following authentication services are supported through their own
authenticator: Auth0, Azure AD, Bitbucket, CILogon, FeiShu, GitHub, GitLab,
Globus, Google, MediaWiki, OpenShift.
There is also a GenericAuthenticator that can be configured with any OAuth 2.0
identity provider or can be used to create a new authenticator class when
py-jupyterhub: Add version 5.4.6
With JupyterHub you can create a multi-user Hub that spawns, manages, and
proxies multiple instances of the single-user Jupyter notebook server.
Project Jupyter created JupyterHub to support many users. The Hub can offer
notebook servers to a class of students, a corporate data science workgroup,
a scientific research project, or a high-performance computing group.
py-jupyterlab: updated to 4.5.7
4.5.7
Enhancements made
- Update default font family to honor macOS system-wide ui-monospace
Bugs fixed
- Video and Audio Content Providers: Fix JupyterLite support
- Fix notebook hang when dropping cells
- Fix Contextual Help keyboard shortcut reliability and menu Help functionality
- Fix focusing input element when opening a dialog from Command Palette
- Fix native context menu blocked even when context menu is suppressed
- Fix flaky toolbar item placement in popup
Maintenance and upkeep improvements
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py-jupyter_server: updated to 2.18.2
2.18.2
Bugs fixed
- Fix saving user avatar URL
- Fix path resolution if `root_dir` is a filesystem root
Maintenance and upkeep improvements
- Add Zulip notification when a release is complete
- chore: update pre-commit hooks
py-django-tasks: updated to 0.12.0
0.12.0
Breaking changes
DB and RQ backends have been extracted into their own packages
Adresses 190 -- Failing task when exception raised for Import string
Align task status with Django SUCCESSFUL
Extract RQ and DB backends into separate packages
Remove metadata support
py-nltk: updated to 3.9.4
Version 3.9.4 2026-03-24
* Support Python 3.14
* Fix bug in Levenshtein distance when substitution_cost > 2
* Fix bug in Treebank detokeniser re quote ordering
* Fix bug in Jaro similarity for empty strings
* Several security enhancements
* Fix GHSA-rf74-v2fm-23pw: unbounded recursion in JSONTaggedDecoder
* Implement TextTiling vocabulary introduction method (Hearst 1997)
* Fix ALINE feature matrix errors and add comprehensive tests
* Support multiple VerbNet versions, fix longid/shortid regex for VerbNet ids
* Let downloader fallback to md5 when sha256 is unavailable
* Several other minor bugfixes and code cleanups
Version 3.9.3 2026-02-21
* Fix CVE-2025-14009: secure ZIP extraction in nltk.downloader
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py-repoze.lru: updated to 0.8
0.8 (2026-05-16)
- Publish releases to PyPI via Github workflow.
- Add Github workflow for unit tests / coverage.
- Drop ``pkg_resources`` namespace support.
- Move package metadata to ``pyproject.toml``.
- Move to ``src/`` layout, with ``tests/unit/`` at top level.
- Add support for Python 3.10, 3.11, 3.12, 3.13, 3.14.
- Drop support for Python < 3.10.
- Replace ``nosetests`` with ``pytest``, and convert tests to use
``pytest`` patterns (fixtures, ``assert``) vs. ``unittest.TestCase``
patterns.
- Lint code, patterns using ``ruff check`` / ``ruff format --check``.
- Lint packaging using ``check-mainifest`` / ``build`` / ``twine``.
py-json-logger: updated to 4.1.0
4.1.0
Added
Add support for Python 3.14, PyPy 3.11
Removed
Remove support for Python 3.8, 3.9 (includes PyPy versions).